Littleton, CO, United States of America

Austin Jay Jorgensen

This inventor holds 1 USPTO granted patent. Top assignee: Raytheon Company. Active years: 2023.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Austin Jay Jorgensen: Innovator in Learning Automation

Introduction

Austin Jay Jorgensen is a notable inventor based in Littleton, CO (US). He has made significant contributions to the field of learning automation, showcasing his innovative spirit through his patent.

Latest Patents

Jorgensen holds a patent for a "Learning automaton and low-pass filter having a pass band that widens over time." This invention describes a learning automaton that can be trained to merge data from various input data streams, which may operate at different data rates, into a single output data stream. The learning automaton is designed to learn over time from these input data streams. It employs a low-pass filter to suppress data with frequencies exceeding a time-varying cutoff frequency. Initially, this cutoff frequency is set relatively low to ensure that high data-rate inputs do not overwhelm lower data-rate inputs. As the learning automaton gains experience, the entropy changes more slowly, allowing the cutoff frequency to increase over time. Once the entropy stabilizes, the training is complete, enabling the automaton to process all input data streams without filtering.

Career Highlights

Austin Jay Jorgensen is currently employed at Raytheon Company, where he continues to develop innovative solutions in technology. His work focuses on enhancing data processing methods, which are crucial in various applications.

Collaborations

Jorgensen collaborates with talented individuals such as Marcus Alton Teter and Natalie Rae Plotkin, contributing to a dynamic work environment that fosters innovation.

Conclusion

Austin Jay Jorgensen exemplifies the spirit of innovation through his work in learning automation. His contributions, particularly his patent, highlight the importance of adapting technology to meet evolving data processing needs.

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